Effect of load models on Battery-Switching Station allocation in distribution network

Jamian, Jasrul Jamani; Mustafa, Mohd Wazir; Muda, Z.; Mokhlis, Hazlie; Aman, M.M.

doi:10.1109/pecon.2012.6450203

Cited by 10 publications

(4 citation statements)

References 11 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Structure of this sizing model is shown in Figure 2. Secondly, for BSS in different nodes chiefly affects the power flow resulting in different network power losses [24], optimal location model of BSS takes the minimum network power loss as an objective, based on the capacity and dispatching power of BSS given by the sizing model. In Figure 1, α is set to store the swapping demand power that cannot be charged immediately due to the restriction of BSS rated power; P B.nom is the rated power of BSS; and p or.t expresses the original charging power of BSS in time t.…”

Section: Model Formulation For Sizing and Locating Of Bssmentioning

confidence: 99%

Section: Model Formulation For Sizing and Locating Of Bssmentioning

confidence: 99%

See 1 more Smart Citation

A New Method to Plan the Capacity and Location of Battery Swapping Station for Electric Vehicle Considering Demand Side Management

Liu

Niu

et al. 2016

Sustainability

View full text Add to dashboard Cite

Compared to electric vehicle (EV) charging mode, battery swapping mode can realize concentrated and orderly charging. Therefore battery swapping stations (BSS) can participate in the demand side management (DSM) as an integrated form. In this context, a new method to plan the capacity and location of BSS for EV, considering DSM, is proposed in this paper. Firstly, based on the original charging power of BSS with the rule of "First-In First-Out", a bi-level optimal configuration model of BSS, in which net profit of BSS is maximized in the upper model and operating cost of Distribution Company is minimized in the lower model, is developed to decide the rated power, number of batteries, contract pricing and dispatched power of BSS for DSM. Then, the optimal locating model of BSS with the objective of minimizing network loss is built. A mesh adaptive direct search algorithm with YALMIP toolbox is applied to optimize the bi-level model. Simulation calculation was carried on IEEE-33 nodes distribution system and the results show that participating in DSM can improve the economic benefits of both BSS and distribution network and promote the consumption of distributed generation, verifying the feasibility and effectiveness of the proposed method.

show abstract

Section: Model Formulation For Sizing and Locating Of Bssmentioning

confidence: 99%

Section: Model Formulation For Sizing and Locating Of Bssmentioning

confidence: 99%

A New Method to Plan the Capacity and Location of Battery Swapping Station for Electric Vehicle Considering Demand Side Management

Liu

Niu

et al. 2016

Sustainability

View full text Add to dashboard Cite

show abstract

“…1. The line data and also for load data for 33-bus system has been gain from [19][20][21][22][23]. The total load in the system is 3.715MW and the system load is expected to be constant and Sbase = 100MVA.…”

Section: Testing and Modelingmentioning

confidence: 99%

Power Distribution Network Reconfiguration by Using EPSO for Loss Minimizing

Sulaima

Jali

Bukhari

et al. 2014

AMM

View full text Add to dashboard Cite

Due to the complexity of modern power distribution network, a hybridization of heuristic method which is called as Evolutionary Particle Swarm Optimization (EPSO) is introduced to identify the open and closed switching operation plans for network reconfiguration. The objectives of this work are to reduce the power losses and improve the voltage profile in the overall system meanwhile minimizing the computational time. The proposed combination of Particle Swarm Optimization (PSO) and Evolutionary Programming (EP) is introduced to make it faster in order to find the optimal solution. The proposed method is applied and it impacts to the network reconfiguration for real power loss and voltage profiles is investigated respectively. The proposed method is tested on a IEEE 33-bus system and it is compared to the traditional PSO and EP method accordingly. The results of this study is hoped to help the power engineer to configure the smart and less lossed network in the future.

show abstract

“…In peak hours, the power in battery switch stations will be discharged from batteries and directed to the grid so that the balance between power demand and power supply can be maintained. Other papers [105,106] propose some algorithm to find the optimal locations and capacity of battery switch stations with respect to the requirement…”

Section: Ntu -School Of Computer Engineeringmentioning

confidence: 99%

Reliability analysis and performance optimization of wireless networks and its applications

Dong¹

View full text Add to dashboard Cite

Niyato. In my four years doctoral program, when I came across big difficulties in the research, Prof. Dusit Niyato always taught me to analyze these difficulties from a different perspective. When I felt frustrated and lost my confidence, he gave me a lot of inspiration. Besides, he sets me a good example on how to be a qualified researcher. He taught me the method of searching useful information among huge data, the experience of mastering mathematical tools, and the good habit of managing time more efficiently. Moreover, he pointed out on the novel research direction which leads me to my research road and gave me a lot of enlightenment on specific details in my research works. Secondly, I would like to express my deep gratitude to my co-supervisor, Prof. Ping Wang for her invaluable guidance and suggestions on my research project as well as on my attitude about communicating with people and facing difficulties in the life. She and her family also treated me and my group members dinners when we were homesick on Chinese traditional festivals. Thirdly, I express my sincere thanks to Prof. Zhu Han. He shared a lot of interesting ideas with me and also gave me invaluable instructions on my research. Besides, I would like to thank our research group members and lab colleagues. We spent happy four years together. The technicians in my lab are all very friendly too. Special thanks for their self-giving help and warmhearted assistance on research facilities. As a Ph.D. student, I am also very grateful to my university and school for the opportunity they gave to me so that I can come to Singapore, open my eyes to the wonderful research field, and have the chance to be connected with the world. Finally, I wish to express my deepest gratitude to my parents for their everlasting love, encouragement and support in my life.

show abstract

Effect of load models on Battery-Switching Station allocation in distribution network

Cited by 10 publications

References 11 publications

A New Method to Plan the Capacity and Location of Battery Swapping Station for Electric Vehicle Considering Demand Side Management

A New Method to Plan the Capacity and Location of Battery Swapping Station for Electric Vehicle Considering Demand Side Management

Power Distribution Network Reconfiguration by Using EPSO for Loss Minimizing

Reliability analysis and performance optimization of wireless networks and its applications

Contact Info

Product

Resources

About